Affiliation:
1. Department of Biotechnology, Jaypee Institute of Information Technology, A-10, Sector -62 Noida, Uttar Pradesh,
201307, India
Abstract
Abstract:
One of the most dynamic approaches in biotechnology is reverse vaccinology, which
plays a huge role in today’s developing vaccines. It has the capability of exploring and identifying
the most potent vaccine candidate in a limited period of time. The first successful novel approach
of reverse vaccinology was observed in Neisseria meningitidis serogroup B, which has revolutionised
the whole field of computational biology. In this review, we have summarized the application
of reverse vaccinology for different infectious diseases, discussed epitope prediction and various
available bioinformatic tools, and explored the advantages, limitations and necessary elements of
this approach. Some of the modifications in the reverse vaccinology approach, like pan-genome
and comparative reverse vaccinology, are also outlined. Vaccines for illnesses like AIDS and hepatitis
C have not yet been developed. Computer Aided Reverse vaccinology has the potential to be a
game-changer in this area. The use of computational tools, pipelines and advanced soft-computing
methods, such as artificial intelligence and deep learning, and exploitation of available omics data
in integration have paved the way for speedy and effective vaccine designing. Is reverse vaccinology
a viable option for developing vaccines against such infections, or is it a myth? Vaccine development
gained momentum after the spread of various infections, resulting in numerous deaths; these vaccines
are developed using the traditional technique, which includes inactivated microorganisms. As a result,
reverse vaccinology may be a far superior technique for creating an effective vaccine.
Publisher
Bentham Science Publishers Ltd.
Subject
Organic Chemistry,Computer Science Applications,Drug Discovery,General Medicine
Cited by
3 articles.
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